Heterogeneous expression of cell surface markers in human myeloma cell lines: implications for disease modelling and therapeutic targeting
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE250236 | GEO | 2024/10/03
REPOSITORIES: GEO
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Project description:Heterogeneous expression of cell surface markers in human myeloma cell lines: implications for disease modelling and therapeutic targeting
| PRJNA1052711 | ENA
Project description:The myeloma cell surface proteome (“surfaceome”) not only determines tumor interaction with the microenvironment but serves as an emerging arena for therapeutic development. Here, we use glycoprotein capture proteomics to first define surface markers most-enriched on myeloma when compared to B-cell malignancy models, revealing unexpected biological signatures unique to malignant plasma cells. We next integrate our proteomic dataset with existing transcriptome databases, nominating CCR10 and TXNDC11 as possible monotherapeutic targets and CD48 as a promising co-target for increasing avidity of BCMA-directed cellular therapies. We further identify potential biomarkers of resistance to proteasome inhibitors and lenalidomide including changes in CD53, EVI2B, CD10, and CD33. Comparison of short-term treatment with chronic resistance delineates large differences in surface proteome profile under each type of drug exposure. Finally, we develop a miniaturized version of the surface proteomics protocol and present the first surface proteomic profile of a primary MM patient plasma cell sample. Our dataset provides a unique resource to advance the biological, therapeutic, and diagnostic understanding of myeloma.
2022-05-27 | PXD022553 | Pride
Project description:The goals of this study are to use multi-omics to design strategies to enhance efficacy of CD38-targeting immunotherapies in myeloma. We compared RNA-seq to cell surface proteomics after genetic and chemical manipulation of CD38 levels in myeloma cell lines.
2021-08-02 | GSE181277 | GEO
Project description:The myeloma cell surface proteome (“surfaceome”) not only determines tumor interaction with the microenvironment but serves as an emerging arena for therapeutic development. Here, we use glycoprotein capture proteomics to first define surface markers most-enriched on myeloma when compared to B-cell malignancy models, revealing unexpected biological signatures unique to malignant plasma cells. We next integrate our proteomic dataset with existing transcriptome databases, nominating CCR10 and TXNDC11 as possible monotherapeutic targets and CD48 as a promising co-target for increasing avidity of BCMA-directed cellular therapies. We further identify potential biomarkers of resistance to proteasome inhibitors and lenalidomide including changes in CD53, EVI2B, CD10, and CD33. Comparison of short-term treatment with chronic resistance delineates large differences in surface proteome profile under each type of drug exposure. Finally, we develop a miniaturized version of the surface proteomics protocol and present the first surface proteomic profile of a primary plasma cell sample. Our dataset provides a unique resource to advance the biological, therapeutic, and diagnostic understanding of myeloma.
2021-12-10 | GSE160572 | GEO
Project description:The accessibility of cell surface proteins makes them tractable for cancer immunotherapy, but identifying suitable targets remains challenging, and resistance to treatment is common. Technical difficulties precluding the use of whole cell proteomic approaches to characterize cell surface proteins include low abundance, hydrophobicity, and a lack of protease cleavage sites. Furthermore, neither whole-cell proteomic nor transcriptomic data can accurately quantify protein expression at the plasma membrane. Resistance to immunotherapies is commonly mediated by downregulation of the target protein, a particular problem when immunotherapies fail to inhibit a specific biological pathway. Here we have used plasma membrane profiling of primary human myeloma cells to identify an unprecedented number of cell surface proteins and quantify for the first time the entire cell surface proteome of a primary cancer. This approach revealed a novel therapeutic target, SEMA4A, which we potently and selectively targeted with an antibody-drug conjugate in vitro and in vivo. Reduction of SEMA4A expression resulted in marked impairment of myeloma cell growth in vitro, indicating that myeloma cells cannot downregulate SEMA4A to avoid detection. Our data therefore reveal not only a novel myeloma target but provide an exemplar of a top-down approach from the unbiased characterization of a cancer cell surface proteome to novel immunotherapeutic target.
2022-01-24 | PXD014165 | Pride
Project description:We differentiated human iPSC to day 14 using our dopaminergic neuron protocol. At day 14, the cells were fixed, stained and FACS sorted in to the FOXA2/LMX1 double positive (wanted neural progenitor population) and double negative pools. We compared the RNA of the pools via microarray to identify surface markers in the double positive pool to be able to live purify the neural progenitors from the rest of the cells. Human embryonic stem cells (ESCs) and induced pluripotent stem cells (iPSCs) can provide sources for midbrain dopaminergic (mDA) neural progenitors (NPCs) for cell therapy to treat Parkinson’s disease (PD) patients. However, the well-known line-to-cell line variability in the differentiation capacity of individual cell lines needs to be improved for the success of this therapy. To address this issue, we sought to identify mDA NPC specific cell surface markers for fluorescence activated cell sorting (FACS). Through RNA isolation after sorting for NPCs based on staining for cell-specific transcription factors followed by microarray, we identified two positive cell surface markers (CORIN and CD166) and one negative cell surface marker (CXCR4) for mDA NPC sorting. These three markers can enrich dopaminergic NPCs to 90% purity, and the sorted NPCs more efficiently differentiate to mature dopaminergic neurons compared to unsorted or CORIN+ alone mDA NPCs. This surface marker identification strategy can be used broadly to facilitate isolation of cell subtypes of interest from heterogeneous cultures. Complete processed data are not available
2017-05-23 | GSE99139 | GEO
Project description:CD38 is a surface ectoenzyme expressed at high levels on myeloma plasma cells and is the target for the monoclonal antibodies (mAbs) daratumumab and isatuximab. CD38 density on tumor cells is an important determinant of mAb efficacy while CD38 is lost after mAb treatment. Several small molecules have been found to increase tumor surface CD38, with the goal of boosting mAb efficacy in a co-treatment strategy. Here we sought to extend our currently limited insight into CD38 surface expression by using a multi-omics approach. Genome-wide CRISPR-interference screens integrated with patient-centered epigenetic analysis confirmed known regulators of CD38, such as RARA, while revealing XBP1 and SPI1 as other key transcription factors governing surface CD38 levels. CD38 knockdown followed by cell surface proteomics demonstrated no significant remodeling of the myeloma “surfaceome” after genetically-induced loss of this antigen. Integrated transcriptome and surface proteome data confirmed high specificity of all-trans retinoic acid in upregulating CD38 in contrast to broader effects of azacytidine and panobinostat. Finally, unbiased phosphoproteomics identified inhibition of MAP kinase pathway signaling in tumor cells after daratumumab treatment. Our work provides a resource to design strategies to enhance efficacy of CD38-targeting immunotherapies in myeloma.
2021-07-29 | PXD027594 | Pride
Project description:The myeloma cell surface proteome (“surfaceome”) not only determines tumor interaction with the microenvironment but serves as an emerging arena for therapeutic development. Here, we use glycoprotein capture proteomics to first define surface markers most-enriched on myeloma when compared to B-cell malignancy models, revealing unexpected biological signatures unique to malignant plasma cells. We next integrate our proteomic dataset with existing transcriptome databases, nominating CCR10 and TXNDC11 as possible monotherapeutic targets and CD48 as a promising co-target for increasing avidity of BCMA-directed cellular therapies. We further identify potential biomarkers of resistance to proteasome inhibitors and lenalidomide including changes in CD53, EVI2B, CD10, and CD33. Comparison of short-term treatment with chronic resistance delineates large differences in surface proteome profile under each type of drug exposure. Finally, we develop a miniaturized version of the surface proteomics protocol and present the first surface proteomic profile of a primary malignant plasma cell sample of MM patient. Our dataset provides a unique resource to advance the biological, therapeutic, and diagnostic understanding of myeloma.
2022-05-27 | PXD022482 | Pride
Project description:The project aims at identifying surface proteins that are modified by the tetrasaccharide sialyl Lewisa/x and therefore serve as selectin ligands in Multiple Myeloma. To that end, we have performed an immunoprecipitation using the Heca452 antibody (which recognizes sialyl Lewisa/x-related structures) and a matched isotype control on membrane-enriched fractions that have been generated from the sialyl Lewisa/x-enriched and parental Multiple Myeloma cell line MM1S and RPMI8226. Using this approach, we have been able to identify candidate proteins that may function as selectin ligands in myeloma.
2024-01-23 | PXD046178 | Pride
Project description:Multiple myeloma involves early dissemination of malignant plasma cells across the bone marrow; however, the initial steps of dissemination remain unclear. Human bone marrow-derived mesenchymal stromal cells (hMSCs) stimulate myeloma cell expansion (e.g., IL-6) and simultaneously retain myeloma cells via chemokines (e.g., CXCL12) and adhesion factors. Hence, we hypothesized that the imbalance between cell division and retention drives dissemination. We present an in vitro model using primary hMSCs co-cultured with INA-6 myeloma cells. Time-lapse microscopy revealed proliferation and attachment/detachment dynamics. Separation techniques (V-well adhesion assay and well plate sandwich centrifugation) were established to isolate MSC-interacting myeloma subpopulations that were characterized by RNAseq, cell viability and apoptosis. Results were correlated with gene expression data (n=837) and survival of myeloma patients (n=536). On dispersed hMSCs, INA-6 saturate hMSC-surface before proliferating into large homotypic aggregates, from which single cells detached completely. On confluent hMSCs, aggregates were replaced by strong heterotypic hMSC-INA-6 interactions, which modulated apoptosis time-dependently. Only INA-6 daughter cells (nMA-INA6) detached from hMSCs by cell division but sustained adherence to hMSC-adhering mother cells (MA-INA6). Isolated nMA-INA6 indicated hMSC-autonomy through superior viability after IL6 withdrawal and upregulation of proliferation-related genes. MA-INA6 upregulated adhesion and retention factors (CXCL12), that, intriguingly, were highly expressed in myeloma samples from patients with longer overall and progression-free survival, but their expression decreased in relapsed myeloma samples. Altogether, in vitro dissemination of INA-6 is driven by detaching daughter cells after a cycle of hMSC-(re)attachment and proliferation, involving adhesion factors that represent a bone marrow-retentive phenotype with potential clinical relevance.
2024-04-11 | GSE261423 | GEO